Run
19153

Run 19153

Task 2075 (Supervised Classification) abalone Uploaded 12-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I10
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.5602
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2124
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.121
Cross-validation details (10-fold Crossvalidation)
KB relative information score
677.3953
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0543
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0618
Cross-validation details (10-fold Crossvalidation)
Number of instances
4177
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2124
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2126
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6268
Cross-validation details (10-fold Crossvalidation)
Recall
0.2126
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.879
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1757
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.233
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3258
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
936.2458[554.4312010721529995.585111012386484.10363182779514903.94479785969181743.1640910536214]